Healthcare in 3D Terms and Phrases

Deep Learning
The name given to traversing a Stacked Neural Network with more than 3 layers. Each layer of nodes trains on the output from the previous layer to identify features. The further you advance into the neural net, more complex features can be recognized, since they aggregate and recombine features from the previous layer. One challenge it solves in medicine is identifying and classifying the massive and onerous volume of raw unstructured and unlabeled data in the medical record, replete with freeform text and images, information that has not been organized in a queryable form beyond that of a simplistic keyword search.
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Healthcare in 3 Dimensions is a system to optimize and assess the delivery of healthcare using counterfactual analysis of care paths, managing costs without sacrificing the individuality of the patient.

RECENT NEWS

13
Dec 2021
HCn3D Topology Whitepaper

Health care cost control requires transformation of health care delivery and financing.


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09
Jul 2019
CMS CHALLENGE Submittal 3

In June the Team submitted their application to the CMS AI Health Outcomes Challenge.


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30
May 2019
CMS AI Health Outcomes Challenge
Dr. Ripley reflects on HCn3D’s participation in the CMS AI Health Outcomes Challenge.
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22
Jan 2019
Pyramid of Value INTERACTIVE!
HCn3D releases new interactive presentation for the Pyramid of Value
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